{
  "channels": [
    "conda-forge",
    "defaults"
  ],
  "conda_build_version": "3.18.9",
  "conda_private": false,
  "conda_version": "4.7.12",
  "env_vars": {
    "CIO_TEST": "<not set>"
  },
  "extra": {
    "copy_test_source_files": true,
    "final": true,
    "recipe-maintainers": [
      "conda-forge/r"
    ]
  },
  "home": "https://www.math.uzh.ch/pages/spam/",
  "identifiers": [],
  "keywords": [],
  "license": "LGPL-2 | BSD_3_clause",
  "license_family": "LGPL",
  "license_file": [
    "D:\\bld\\r-spam_1568744111977\\_h_env/lib/R/share/licenses/LGPL-2",
    "D:\\bld\\r-spam_1568744111977\\_h_env/lib/R/share/licenses/BSD_3_clause",
    "LICENSE"
  ],
  "root_pkgs": [
    "anaconda-client 1.7.2 py_0",
    "asn1crypto 0.24.0 py36_1003",
    "attrs 19.1.0 py_0",
    "beautifulsoup4 4.8.0 py36_0",
    "bzip2 1.0.8 hfa6e2cd_1",
    "ca-certificates 2019.9.11 hecc5488_0",
    "certifi 2019.9.11 py36_0",
    "cffi 1.12.3 py36hb32ad35_0",
    "chardet 3.0.4 py36_1003",
    "click 7.0 py_0",
    "clyent 1.2.2 py_1",
    "conda 4.7.12 py36_0",
    "conda-build 3.18.9 py36_3",
    "conda-env 2.6.0 1",
    "conda-forge-ci-setup 2.5.0 py36_0",
    "conda-package-handling 1.4.1 py36_0",
    "console_shortcut 0.1.1 3",
    "cryptography 2.7 py36hb32ad35_0",
    "decorator 4.4.0 py_0",
    "filelock 3.0.10 py_0",
    "glob2 0.7 py_0",
    "idna 2.8 py36_1000",
    "ipython_genutils 0.2.0 py_1",
    "jinja2 2.10.1 py_0",
    "jsonschema 3.0.2 py36_0",
    "jupyter_core 4.4.0 py_0",
    "libarchive 3.3.3 h4890af2_1006",
    "libiconv 1.15 hfa6e2cd_1005",
    "liblief 0.9.0 ha925a31_2",
    "libxml2 2.9.9 h9ce36c8_5",
    "lz4-c 1.8.3 he025d50_1001",
    "lzo 2.10 hfa6e2cd_1000",
    "markupsafe 1.1.1 py36hfa6e2cd_0",
    "menuinst 1.4.16 py36_0",
    "nbformat 4.4.0 py_1",
    "openssl 1.1.1c hfa6e2cd_0",
    "pip 19.2.3 py36_0",
    "pkginfo 1.5.0.1 py_0",
    "powershell_shortcut 0.0.1 2",
    "psutil 5.6.3 py36hfa6e2cd_0",
    "py-lief 0.9.0 py36ha925a31_2",
    "pycosat 0.6.3 py36hfa6e2cd_1001",
    "pycparser 2.19 py36_1",
    "pyopenssl 19.0.0 py36_0",
    "pyrsistent 0.15.4 py36hfa6e2cd_0",
    "pysocks 1.7.0 py36_0",
    "python 3.6.7 he025d50_1005",
    "python-dateutil 2.8.0 py_0",
    "python-libarchive-c 2.8 py36_1004",
    "pytz 2019.2 py_0",
    "pywin32 224 py36hfa6e2cd_1000",
    "pyyaml 5.1.2 py36hfa6e2cd_0",
    "requests 2.22.0 py36_1",
    "ripgrep 11.0.2 1",
    "ruamel_yaml 0.15.71 py36hfa6e2cd_1000",
    "setuptools 41.2.0 py36_0",
    "six 1.12.0 py36_1000",
    "soupsieve 1.9.3 py36_0",
    "sqlite 3.27.2 he774522_0",
    "tqdm 4.35.0 py_0",
    "traitlets 4.3.2 py36_1000",
    "urllib3 1.25.3 py36_0",
    "vc 14.1 h0510ff6_4",
    "vs2008_express_vc_python_patch 1.0.0 0",
    "vs2015_runtime 14.15.26706 h3a45250_0",
    "wheel 0.33.6 py36_0",
    "wincertstore 0.2 py36_1002",
    "win_inet_pton 1.1.0 py36_0",
    "xz 5.2.4 h2fa13f4_1001",
    "yaml 0.1.7 hc54c509_2",
    "zlib 1.2.11 h2fa13f4_1006",
    "zstd 1.4.0 hd8a0e53_0"
  ],
  "summary": "Set of functions for sparse matrix algebra. Differences with other sparse matrix packages are: (1) we only support (essentially) one sparse matrix format, (2) based on transparent and simple structure(s), (3) tailored for MCMC calculations within G(M)RF. (4) and it is fast and scalable (with the extension package spam64). Documentation about 'spam' is provided by vignettes included in this package, see also Furrer and Sain (2010) <doi:10.18637/jss.v036.i10>; see 'citation(\"spam\")' for details.",
  "tags": []
}